Respiratory Rate Estimation Using U-Net-Based Cascaded Framework From Electrocardiogram and Seismocardiogram Signals-Reference-Cited by-同舟云学术

Respiratory Rate Estimation Using U-Net-Based Cascaded Framework From Electrocardiogram and Seismocardiogram Signals

Published:2022-06 Issue:6 Volume:26 Page:2481-2492
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Chan Michael¹^ORCID,Ganti Venu G.²^ORCID,Inan Omer T.³^ORCID

Affiliation:

1. Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA

2. Bioengineering Graduate Program, Georgia Institute of Technology, Atlanta, GA, USA

3. School of Electrical and Computer Engineering, the Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA

Funder

Centers for Disease and Control and Prevention

National Institutes of Health

National Heart, Lung, and Blood Institute

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/9788469/09691785.pdf?arnumber=9691785

Reference42 articles.

1. Certain Topics in Telegraph Transmission Theory

2. Improvement of ballistocardiogram processing by inclusion of respiration information

3. A Real-Time QRS Detection Algorithm

4. Dynamic time warping and machine learning for signal quality assessment of pulsatile signals

5. A Unified Framework for Quality Indexing and Classification of Seismocardiogram Signals

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